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Md. Masud Rana
Rajshahi University of Engineering & Technology
Computer Science & IT Electrical & Electronics Engineering

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Parametric Investigation of Near End and Far End Crosstalks in Printed Circuit Board Lands Md. Masud Rana; Md. Rabiul Islam; Md Kamal Hosain
International Journal of Electrical and Computer Engineering (IJECE) Vol 1, No 2: December 2011
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.663 KB)

Abstract

Multi-conductor transmission line and interconnect carry signals with wide rage of frequencies from sending end to receiving end. The signal in one transmission line may be interupted by the unwanted contributions from the neighboring line conductors. If data speed increases, high frequency effects occur and the signals suffer from difficulties such as ringing, crosstalk, reflections, and ground bounce that seriously hamper the quality of the received signal. In order to estimate the signal quality, signal integrity analysis is needed. In this paper, an attempt has been made to investigate the sensitivity of the near and far end crosstalk on the parameters such as physical geometry of the conductors, electrical property of the substrate and the rise and fall time of excitation signal. The method of moments (MOM) is used to calculate the line parameters for different geometries. The simulation studies are carried out in TNT. The time domain and frequency domain analyses are performed using transmission line model of PSPICE. Moreover, a model is developed and tested in the laboratory. It is observed that the coupling inductance and capacitance vary with the variation of physical geometry and the substrate parameter.DOI:http://dx.doi.org/10.11591/ijece.v1i2.164
Performance Study of Soft Local Binary Pattern over Local Binary Pattern under Noisy Images Sabina Yasmin; Md. Masud Rana
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.371 KB) | DOI: 10.11591/ijece.v6i3.pp1161-1167

Abstract

In this paper, the performance of soft local binary pattern (SLBP) method has been investigated with edge detection techniques for face recognition in case of noisy condition. Various edge detection techniques such as Canny, Robert and Log methods have been used with SLBP for recognizing faces. The results obtained using SLBP with various edge detection for noisy condition based on image quality measurement shows better recognition rate compared to the results obtained using local binary pattern (LBP). Simplified edge detection methods simplify the images as a result SLBP with edge detection requires less computation time compared with edge detection of LBP.
Co-Authors Md Kamal Hosain Md. Rabiul Islam Sabina Yasmin